Python · AWS · Generative AI · Agentic AI

Hi, I’m Sai.
Python Backend & AI Engineer

I design backend systems that hold up in production, and build the pipelines that turn AI models into software people can rely on.

At Verisk, I work on enterprise backend services and agentic workflows, mostly with FastAPI and AWS. A lot of my time goes into wiring up LLM and MCP tools so they don’t fall apart once real users hit them.

Current Software Engineer · Verisk
Location Hyderabad, India
Focus Python Backend, AWS, AI

Experience

Professional Experience

Software Engineer

Verisk Analytics

February 2025 – Present
Hyderabad, India

Backend Engineering & System Design

Designed and developed Python backend services and REST APIs, working across API architecture, database design, system integration, performance optimization, and reliable enterprise applications.

Generative AI & Agentic Systems

Integrated LLMs, RAG, and conversational AI into enterprise applications. Developed intelligent knowledge retrieval capabilities and worked on AI agents, MCP, tool orchestration, and contextual interactions.

AWS Cloud & Data Engineering

Developed cloud-native services, serverless workflows, and data-processing pipelines using AWS. Worked with database-backed applications, structured and unstructured data, and efficient storage and retrieval.

Full-Stack Engineering & Reliability

Delivered functionality across Python backend services and Angular interfaces. Improved application performance, AI observability, deployment reliability, and maintainability.

Projects

Selected Projects

A few things I’ve built while exploring backend engineering, AI, and full-stack development.

Academic Projects

Academic Project · Machine Learning

Signature Verification Using Machine Learning

A model that tells genuine signatures from forged ones using image features and supervised classification.

  • 96% classification accuracy; 95.5% five-fold cross-validation accuracy
  • Features built with HOG, LBP, geometric, and projection techniques
  • Random Forest classifier served through a Flask web app

Python · scikit-learn · OpenCV · Random Forest · Flask

View on GitHub

Academic Project · NLP & Machine Learning

Fake News Detection Using NLP

An NLP classifier that flags potentially misleading news articles from their text.

  • Trained and evaluated on a dataset of approximately 44,000 articles
  • 98–99% classification accuracy with TF-IDF and Logistic Regression
  • Flask interface for real-time text classification

Python · NLP · TF-IDF · Logistic Regression · scikit-learn · Flask

View on GitHub

Skills

Technical Skills

Backend Engineering & APIs

  • Python, Java
  • FastAPI, Flask
  • REST API design
  • API integrations
  • Data validation & transformation

Generative AI & Agentic Systems

  • LLMs & LLM API integration
  • Retrieval-Augmented Generation (RAG)
  • Model Context Protocol (MCP)
  • Amazon Bedrock, AgentCore, Strands Agents
  • Langfuse (LLM observability)

AWS & Cloud

  • Lambda, EC2
  • S3, RDS
  • CloudWatch
  • OpenSearch
  • Serverless workflows

Databases & Data Engineering

  • PostgreSQL, MySQL
  • DynamoDB
  • Data-processing pipelines
  • Pandas, NumPy

Frontend Development

  • Angular
  • TypeScript, JavaScript
  • HTML & CSS
  • Streamlit

DevOps & Engineering Tools

  • Docker
  • Git, GitHub, GitLab
  • CI/CD (GitLab)
  • Render, Cloudflare
  • Postman

Background

Education

Bachelor of Technology · CSE

Balaji Institute of Technology and Science · 2020 – 2024

Affiliated with JNTU Hyderabad · Warangal, India

GPA: 7.54 · Specialization in Computer Science and Engineering.

Intermediate (MPC)

NRI Junior College · 2018 – 2020

Telangana State Board of Intermediate Education · Warangal, India

Percentage: 95% · Built strong analytical and problem‑solving foundations across Mathematics, Physics, and Chemistry.

Secondary School Certificate (SSC)

Z.P.H.S Sangem · 2018

Telangana State Board of Secondary Education · Warangal, India

GPA: 8.5 · Built a solid foundation for higher education in technology.

Continuous Learning

Certifications

A few certifications and courses I’ve completed along the way.

AWS Certified Developer – Associate

Focused on building, deploying, and troubleshooting applications on AWS.

View certificate

Introduction to Generative AI

An introduction to generative AI and language models from Google Cloud.

View certificate

Programming Essentials in Python

Python programming and problem-solving through Cisco Networking Academy.

View certificate

Java Foundations

Java and object-oriented programming fundamentals through Oracle Academy.

View certificate

Data Analytics and Visualization Job Simulation

Practiced cleaning and analyzing data, then presenting findings in Accenture’s Forage simulation.

View certificate

Cybersecurity Essentials

Network security and vulnerability basics through Cisco Networking Academy.

View certificate

Introduction to Cybersecurity

Cybersecurity basics, common threats, and ways to reduce risk through Cisco Networking Academy.

View certificate

Get In Touch

Let’s Talk

Want to talk about a role, a project, or backend and AI engineering? Feel free to get in touch.